The purpose of this application is to provide developers and beginners with a secure way to parse HL7 messages. Using other online tools for real data validation might lead to HIPAA violations and compromise data security. This open-source application aims to address these concerns by allowing users to host and run the application in their own environment.

• Parse HL7 messages securely.
• Open-source with no data logging on the server.
• Provides an opportunity to run the application locally for enhanced security.

• Python latest version (minimum Python 3.11)

1. Clone the Repository:

   git clone https://github.com/sudhi001/HL7_TO_JSON_WITH_FAST_API.git

2. Navigate to the Project Folder:

   cd HL7_TO_JSON_WITH_FAST_API

3. Install Dependencies:

   pip install -r requirements.txt

4. Run Fast API:

   uvicorn main:app --reload

5. Open the Application: Open your browser and go to http:https://localhost:8000

6. Enjoy! You can now use the application to parse HL7 messages in a secure environment.

• About the Parser: This HL7 to JSON parser was developed without using any existing HL7 parser. It's a quick one-hour project to provide a simple solution for parsing HL7 messages securely.

• Ensure that you have the latest version of Python installed (minimum Python 3.11).

• While the application is hosted on a server, it's open-source, and no information is saved or logged on the server. If you still have security concerns, you have the option to run the application in your environment.

Hi, I'm Sudhi S., the creator of this HL7 to JSON parser. If you have any questions, suggestions, or feedback, feel free to reach out to me:

• Email: [email protected]
• GitHub: sudhi001

Happy coding!